231 Open source projects that are alternatives of or similar to Ccnet Pure Pytorch

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。

Switchable Normalization for semantic image segmentation and scene parsing.

Reproduce simple cv project including attention module, classification, object detection, segmentation, keypoint detection, tracking 😄 etc.

My Attempt(s) In The World Of ML/DL....

Bangla Machine Translator

End-to-end variable length Captcha recognition using CNN+RNN+Attention/CTC (pytorch implementation). 端到端的不定长验证码识别

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

论文“Attention-over-Attention Neural Networks for Reading Comprehension”中AoA模型实现

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

Understanding Convolution for Semantic Segmentation

A Tensorfflow implementation of Attend, Infer, Repeat

PyTorch implementation of some attentions for Deep Learning Researchers.

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

Natural Language Processing Tutorial for Deep Learning Researchers

Use tensorflow to achieve some NLP project, eg: classification chatbot ner attention QAetc.

Draw a leader line in your web page.

Tensorflow implementation of attention mechanism for text classification tasks.

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

list of efficient attention modules

CNN, LSTM, NBOW, fasttext 中文文本分类

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO

📚 Text classification library with Keras

A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.

document classification using LSTM + self attention

A Keras Implementation of Attention_based Siamese Manhattan LSTM

Machine learning, in numpy

Re-implementation of Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling (T. Shen et al., ICLR 2018) on Pytorch.

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

TensorFlow Implementation of "Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification"

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training

PSPNet in Chainer

DeFactoNLP: An Automated Fact-checking System that uses Named Entity Recognition, TF-IDF vector comparison and Decomposable Attention models.

Multi-turn dialogue baselines written in PyTorch

An implementation of (Induced) Set Attention Block, from the Set Transformers paper

Hierarchical Attention Transfer Network for Cross-domain Sentiment Classification (AAAI'18)

Official and maintained implementation of the paper Attention-Based Transformers for Instance Segmentation of Cells in Microstructures [BIBM 2020].

mIOU=80.02 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).

A Tensorflow implementation of Spatial Transformer Networks.

[ICLR 2021] Is Attention Better Than Matrix Decomposition?

研读顶会论文，复现论文相关代码

An open-source neural machine translation system developed by Natural Language Processing Group, Nanjing University.

Implementation of papers for text classification task on DBpedia

A Pytorch implementation of Global Self-Attention Network, a fully-attention backbone for vision tasks

Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.

BertQA - Attention on Steroids

Add bisenetv2. My implementation of BiSeNet

Download City Scapes Dataset using this script

A PyTorch implementation of the Transformer model in "Attention is All You Need".

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

A deep learning library based on Pytorch focussed on low resource language research and robustness

Punctuation restoration and spell correction experiments.

Computer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection

Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation (BMVC2019)

Empirical Evaluation on Current Neural Networks on Cloze-style Reading Comprehension

Sorting numbers with pointer networks